> require("caret")
Loading required package: caret
Loading required package: lattice
Loading required package: ggplot2
Error in loadNamespace(j <- i[[1L]], c(lib.loc, .libPaths()), versionCheck = vI[[j]]) :
there is no package called ‘pbkrtest’
So I found that there is lack of "pbkrtest" then I tried to reinstall it.
> install.packages("pbkrtest")
Installing package into ‘C:/Users/ADMIN/Documents/R/win-library/3.2’
(as ‘lib’ is unspecified)
There is a binary version available but the source version is
later:
binary source needs_compilation
pbkrtest 0.4-2 0.4-3 FALSE
installing the source package ‘pbkrtest’
trying URL 'https://rweb.crmda.ku.edu/cran/src/contrib/pbkrtest_0.4- 3.tar.gz'
Content type 'application/x-gzip' length 164415 bytes (160 KB)
downloaded 160 KB
* installing *source* package 'pbkrtest' ...
** package 'pbkrtest' successfully unpacked and MD5 sums checked
** R
** data
** inst
** preparing package for lazy loading
Warning: replacing previous import by 'stats::sigma' when loading 'pbkrtest'
Error : object 'sigma' is not exported by 'namespace:stats'
ERROR: lazy loading failed for package 'pbkrtest'
* removing 'C:/Users/ADMIN/Documents/R/win-library/3.2/pbkrtest'
The downloaded source packages are in
‘C:\Users\ADMIN\AppData\Local\Temp\Rtmpk7mJT0\downloaded_packages’
Warning messages:
1: running command '"D:/R-3.2.3/bin/x64/R" CMD INSTALL -l
"C:\Users\ADMIN\Documents\R\win-library\3.2"
C:\Users\ADMIN\AppData\Local\Temp\Rtmpk7mJT0/downloaded_packages/pbkrtest_0.4- 3.tar.gz' had status 1
2: In install.packages("pbkrtest") :
installation of package ‘pbkrtest’ had non-zero exit status
It seems like that the installation keeps failing. As a result, I couldn't use other code using caret packages.
I faced this problem as well on Windows 7. I did following steps in the sequence and it worked. a) Make sure your R version is updated latest R release 3.2.3 b) The default sources seems to be installing Unix version. So I manually downloaded https://cran.r-project.org/web/packages/pbkrtest/index.html for windows c) Use manually install function from R menu to install the package.
Cheers, Ratan
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